Hiring.Camp

2027 Intern - Product Management, Vehicle Autonomy (MS or MBA)

General Motors

·

Yesterday

Salary
$9k – $11k
Location
GM Automation - Sunnyvale - GM Automation - Sunnyvale, United States of America
Workplace
Hybrid
Type
Internship
Department
IT
Seniority
Internship
Education
Master
Source
Workday

Description

Job Description

Why join us?

General Motors is working toward a future with zero crashes, zero emissions, and zero congestion. Vehicle Autonomy is an important part of that vision, helping create safer, more capable, and more seamless experiences for customers.

Our Product Management teams connect customer needs, business priorities, technology, and execution. We work across current and future autonomy products as well as the underlying software and platform capabilities that support GM’s vehicle autonomy roadmap.

As a Product Management Intern, you will gain hands-on experience in a fast-moving, cross-functional environment while contributing to work that supports the future of transportation.

The role

We are looking for a motivated student to join the Vehicle Autonomy Product Management organization for a summer internship. The intern will support product managers and partner teams across a range of initiatives, which may include current products, future product concepts, and foundational platforms that enable autonomy experiences.

The specific project will be aligned to business needs, the intern’s interests, and the skills they bring to the team. This is an opportunity to learn how high impact products are identified, evaluated, and iterated throughout the development cycle. A successful candidate is curious, organized, comfortable learning new technical concepts, and eager to collaborate with people across product, engineering, design, data, program management, and other partner teams.

What you’ll do

Opportunities may include the following:

  • Support product managers with research, analysis, documentation, and day-to-day product activities.
  • Help gather and synthesize customer, market, competitive, technical, and business insights.
  • Contribute to product requirements, user stories, use cases, process flows, and other product documentation.
  • Assist with roadmap planning and preparation of materials for team and stakeholder discussions.
  • Analyze information and data to identify trends, opportunities, risks, and areas for improvement.
  • Participate in cross-functional meetings and help track decisions, actions, dependencies, and open questions.
  • Work with engineering, design, data science, program management, and other teams to understand product capabilities and constraints.
  • Help evaluate current and future autonomy experiences and the platforms that support them.
  • Prepare presentations, status updates, and recommendations for a variety of audiences.
  • Support the development and tracking of product success measures, customer feedback, and team objectives.
  • Learn and apply product management practices in an automotive and software-defined vehicle environment.

Your skills and abilities

  • Currently enrolled in a Master's or MBA degree program with a focus in engineering, computer science, data science, human-computer interaction, or a related field with a planned graduation date between December 2027 through August 2028.
  • Interest in product management, vehicle autonomy, advanced driver assistance systems, automotive technology, robotics, or emerging mobility experiences.
  • Strong analytical, organizational, and problem-solving skills.
  • Clear written and verbal communication skills, including the ability to summarize complex information and present proposals to stakeholders.
  • Ability to collaborate effectively with teammates from different technical and professional backgrounds. Experience working on a team project with ambiguous or evolving requirements.
  • Curiosity and willingness to learn & share new concepts

What will give you a competitive edge

  • Coursework, projects, or prior experience involving product management, software development, data analysis, user research, systems engineering, robotics, artificial intelligence, machine learning, or automotive technology.
  • Experience translating user or business needs into requirements, workflows, features, or recommendations.
  • Experience creating presentations, dashboards, reports, process diagrams, or other structured deliverables.
  • Exposure to ADAS, autonomous vehicles, computer vision, sensor systems, vehicle systems, or software platforms.

Additional information

This internship is intended to provide meaningful work experience and development opportunities while supporting GM’s Vehicle Autonomy roadmap. Project assignments and responsibilities may vary based on organizational priorities and the intern’s background.


Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.


  • The salary range for this role is $9,400-$11,100 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.

What You'll Get from Us

  • Paid US GM Holidays
  • GM Family First Vehicle Discount Program
  • Result-based potential for growth within GM
  • Intern events to network with company leaders and peers

Work Arrangement

  • Start dates for this internship role are May 24th and June 14th of 2027.
  • Assignments will be based on team placement to ensure interns are located with their working team and leader.
  • Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills

Machine LearningComputer VisionData ScienceProgram Management

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